Statistics for Environmental Biology and Toxicology presents and illustrates statistical methods appropriate for the analysis of environmental data obtained in biological or toxicological experiments. Beginning...
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not...
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not...
Many scientists and technologists would like to carry out their own statistical analyses without reference to a professional statistician. Often, however, they have no knowledge...
Many scientists and technologists would like to carry out their own statistical analyses without reference to a professional statistician. Often, however, they have no knowledge...
Although the theory behind solitary waves of strain shows that they hold significant promise in nondestructive testing and a variety of other applications, an enigma...
Bayesian methods in reliability cannot be fully utilized and understood without full comprehension of the essential differences that exist between frequentist probability and subjective probability....
Product Description This book includes a collection of John W. Tukey's papers that demonstrate a number of numerical methods and graphical methods, such as box...
Maple is a very powerful computer algebra system used by students, educators, mathematicians, statisticians, scientists, and engineers for doing numerical and symbolic computations. Greatly expanded...
This book gives an introduction to the theoretical and computational fluid dynamics of a compressible fluid. It focuses on the basic assumptions and the formulation...
A text that stresses the general concepts of the theory of statistics Theoretical Statistics provides a systematic statement of the theory of statistics, emphasizing general...
The Analysis Prediction And Interpolation Of Economic And Other Time Series Has A Long History And Many Applications. Major New Developments Are Taking Place, Driven...
The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are taking place, driven...
The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are taking place, driven...
Focusing on Bayesian approaches and computations using simulationbased methods for inference, Time Series: Modeling, Computation, and Inference integrates mainstream approaches for time series modeling with...
From the author of the bestselling 'Analysis of Time Series,' TimeSeries Forecasting offers a comprehensive, uptodate review of forecasting methods. It provides a summary of...
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Statistics for Environmental Biology and Toxicology presents and illustrates statistical methods appropriate for the analysis of environmental data obtained in biological or toxicological experiments. Beginning...
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not...
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not...
Many scientists and technologists would like to carry out their own statistical analyses without reference to a professional statistician. Often, however, they have no knowledge...
Many scientists and technologists would like to carry out their own statistical analyses without reference to a professional statistician. Often, however, they have no knowledge...
Although the theory behind solitary waves of strain shows that they hold significant promise in nondestructive testing and a variety of other applications, an enigma...
Bayesian methods in reliability cannot be fully utilized and understood without full comprehension of the essential differences that exist between frequentist probability and subjective probability....
Product Description This book includes a collection of John W. Tukey's papers that demonstrate a number of numerical methods and graphical methods, such as box...
Maple is a very powerful computer algebra system used by students, educators, mathematicians, statisticians, scientists, and engineers for doing numerical and symbolic computations. Greatly expanded...
This book gives an introduction to the theoretical and computational fluid dynamics of a compressible fluid. It focuses on the basic assumptions and the formulation...
A text that stresses the general concepts of the theory of statistics Theoretical Statistics provides a systematic statement of the theory of statistics, emphasizing general...
The Analysis Prediction And Interpolation Of Economic And Other Time Series Has A Long History And Many Applications. Major New Developments Are Taking Place, Driven...
The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are taking place, driven...
The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are taking place, driven...
Focusing on Bayesian approaches and computations using simulationbased methods for inference, Time Series: Modeling, Computation, and Inference integrates mainstream approaches for time series modeling with...
From the author of the bestselling 'Analysis of Time Series,' TimeSeries Forecasting offers a comprehensive, uptodate review of forecasting methods. It provides a summary of...
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